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Biological Small Angle Scattering: Techniques, Strategies and Tips

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Cover of 'Biological Small Angle Scattering: Techniques, Strategies and Tips'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Small Angle Scattering: Historical Perspective and Future Outlook
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    Chapter 2 Sample and Buffer Preparation for SAXS
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    Chapter 3 Considerations for Sample Preparation Using Size-Exclusion Chromatography for Home and Synchrotron Sources
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    Chapter 4 How to Analyze and Present SAS Data for Publication
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    Chapter 5 Designing and Performing Biological Solution Small-Angle Neutron Scattering Contrast Variation Experiments on Multi-component Assemblies
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    Chapter 6 SAS-Based Structural Modelling and Model Validation
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    Chapter 7 Structural Characterization of Highly Flexible Proteins by Small-Angle Scattering
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    Chapter 8 What Can We Learn from Wide-Angle Solution Scattering?
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    Chapter 9 SAS-Based Studies of Protein Fibrillation
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    Chapter 10 High Resolution Distance Distributions Determined by X-Ray and Neutron Scattering
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    Chapter 11 A Successful Combination: Coupling SE-HPLC with SAXS
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    Chapter 12 Applications of SANS to Study Membrane Protein Systems
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    Chapter 13 Hybrid Applications of Solution Scattering to Aid Structural Biology
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    Chapter 14 A Practical Guide to iSPOT Modeling: An Integrative Structural Biology Platform
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    Chapter 15 Small Angle Scattering for Pharmaceutical Applications: From Drugs to Drug Delivery Systems
Attention for Chapter 6: SAS-Based Structural Modelling and Model Validation
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Chapter title
SAS-Based Structural Modelling and Model Validation
Chapter number 6
Book title
Biological Small Angle Scattering: Techniques, Strategies and Tips
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-981-10-6038-0_6
Pubmed ID
Book ISBNs
978-9-81-106037-3, 978-9-81-106038-0
Authors

Maxim V. Petoukhov, Anne Tuukkanen

Abstract

Small angle scattering of X-rays (SAXS) and neutrons (SANS) is a structural technique to study disordered systems with chaotic orientations of scattering inhomogeneities at low resolution. An important example of such systems are solutions of biological macromolecules. Rapid development in the methodology for solution scattering data interpretation and model building during the last two decades brought the analysis far beyond the determination of just few overall structural parameters (which was the only possibility in the past) and ensured SAS a firm position in the methods palette of the modern life sciences. The advances in the methodology include ab initio approaches for shape and domain structure restoration from scattering curves without a priori structural knowledge, classification and validation of the models, evaluation of potential ambiguity associated with the reconstruction. In rigid body and hybrid modelling approaches, solution scattering is synergistically used with other structural techniques utilizing the complementary information such as atomic models of the components, intramolecular contacts, subunits orientations etc. for the reconstruction of complex systems. The usual requirement of the sample monodispersity has been loosed recently and the technique can now address such systems as weakly bound oligomers and transient complexes. These state-of-the-art methods are described together with the examples of their applications and the possible ways of post-processing of the models.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Master 2 18%
Student > Bachelor 1 9%
Other 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Chemistry 3 27%
Agricultural and Biological Sciences 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Computer Science 1 9%
Engineering 1 9%
Other 0 0%
Unknown 4 36%